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Tournament Particle Swarm Optimization

Willem H. Duminy, Andries P. Engelbrecht
2007 2007 IEEE Symposium on Computational Intelligence and Games  
This paper introduces Tournament Particle Swarm Optimization (PSO) as a method to optimize weights of game tree evaluation functions in a competitive environment using Particle Swarm Optimization.  ...  This method makes use of tournaments to ensure a fair evaluation of the performance of particles in the swarm, relative to that of other particles.  ...  PARTICLE SWARM OPTIMIZATION Kennedy and Eberhart [2] introduce Particle Swarm Optimization (PSO) as an algorithm that searches through a multi-dimensional problem space for an optimal solution.  ... 
doi:10.1109/cig.2007.368091 dblp:conf/cig/DuminyE07 fatcat:qtyvsuxl7ngbxmtih6udgn37yy

Business Intelligence for Paintball Tournament Matchmaking Using Particle Swarm Optimization

M.T. Mishan, A.F.A. Fadzil, K.A.F.A. Samah, N.F. Baharin, N. Anuar
2018 Indonesian Journal of Electrical Engineering and Computer Science  
This study proposes an intelligent matchmaking using Particle Swarm Optimization (PSO) and tournament management system for paintball organizers.  ...  PSO is a swarm intelligence algorithm that optimizes problems by gradually improving its current solutions, therefore countenancing the tournament bracket to be continually improved until the best is produced  ...  This paper therefore presents an intelligent paintball tournament matchmaking using evolutionary-based swarm intelligence optimization algorithm; the particle swarm optimization (PSO) algorithm.  ... 
doi:10.11591/ijeecs.v11.i2.pp599-606 fatcat:nevgz7fspbdwvmdzw6w5tk4zim

Knowledge Transfer Strategies for Vector Evaluated Particle Swarm Optimization [chapter]

Kyle Robert Harrison, Beatrice Ombuki-Berman, Andries P. Engelbrecht
2013 Lecture Notes in Computer Science  
Introduction Particle swarm optimization (PSO) is a population-based, stochastic optimization technique based on the social dynamics of a flock of birds Vector evaluated particle swarm optimization (VEPSO  ...  sub-swarms Objective: Investigate new random, probabilistic, and hybrid strategies to select the global guide and transfer information between sub-swarms Vector Evaluated Particle Swarm Optimization  ... 
doi:10.1007/978-3-642-37140-0_16 fatcat:tyhggfxj6rfhpiv55tivbv6rn4

HYBRID PARTICLE SWARM-BASED ALGORITHMS AND THEIR APPLICATION TO LINEAR ARRAY SYNTHESIS

Jesus Ramon Perez Lopez, Jose Basterrechea
2009 Electromagnetic Waves  
A heuristic particle swarm optimization (PSO) based algorithm is presented in this work and the novel hybrid approach is applied to linear array synthesis considering complex weights and directive element  ...  Basically, classical PSO schemes are modified by introducing a tournament selection strategy and the downhill simplex local search method, so that the hybrid algorithms proposed combine the strengths of  ...  and carry out the optimization: the velocity of the particles.  ... 
doi:10.2528/pier08122212 fatcat:kouovywunzbu7iajwtv6ntmala

Cultural Particle Swarm Algorithms for Constrained Multi-objective Optimization [chapter]

Fang Gao, Qiang Zhao, Hongwei Liu, Gang Cui
2007 Lecture Notes in Computer Science  
In this paper, we propose to integrate particle swarm optimization algorithm into cultural algorithms frame to develop a more efficient cultural particle swarm algorithms (CPSA) for constrained multi-objective  ...  optimization problem.  ...  It synthesizes both the advantages of PSO algorithm and CA and overcomes their drawbacks 2 Introduction to PSO Algorithm The particle swarm optimization algorithm first randomly initializes a swarm of  ... 
doi:10.1007/978-3-540-72590-9_155 fatcat:emjlbihiejdazgyzmfnhqvxvye

Particle Swarm Algorithm for Improved Handling of the Mirrored Traveling Tournament Problem

2021 Tehnički Vjesnik  
In this study, we used a particle swarm optimization (PSO) algorithm to address a variation of the non-deterministic polynomial-time NP-hard traveling tournament problem, which determines the optimal schedule  ...  Our proposed algorithm iteratively explored the search space with a swarm of particles to find near-optimal solutions.  ...  Here, we first introduce the variant TTP and propose a particle swarm optimization (PSO) metaheuristic that searches for a near-optimal TTP solution.  ... 
doi:10.17559/tv-20200618162959 fatcat:mqffqimzwzgnjcoqzxjvddesmu

Robust PSO-Based Constrained Optimization by Perturbing the Particle's Memory [chapter]

Angel Munoz, Arturo Hernandez, Enrique Villa
2007 Swarm Intelligence, Focus on Ant and Particle Swarm Optimization  
But, why is it hard to find an optimal balance?  ...  Constrained Optimization via Particle Swarm Optimization A brief analysis of the state-of-the-art in PSO to solve constrained optimization problems was presented.  ...  Now, we are going to introduce our approach called Particle Evolutionary Swarm Optimization (PESO) (Muñoz et al., 2005) .  ... 
doi:10.5772/5097 fatcat:3hw57mrdwvey5aosckmjvjv3f4

Comparative Study on Distributed Generator Sizing Using Three Types of Particle Swarm Optimization

J.J. Jamian, M.W. Mustafa, H. Mokhlis, M.N. Abdullah
2012 2012 Third International Conference on Intelligent Systems Modelling and Simulation  
In this paper, a comparative studies of a new proposed Rank Evolutionary Particle Swarm Optimization (REPSO) method with Evolutionary Particle Swarm Optimization (EPSO) and Traditional Particle Swarm Optimization  ...  Both REPSO and EPSO are using the concept of Evolutionary Programming (EP) in Particle Swarm Optimization (PSO) process.  ...  of each particle (y i )YES NO The process of Evolutionary Particle Swarm Optimization (EPSO) AlgorithmC.  ... 
doi:10.1109/isms.2012.71 fatcat:4ez3tnopvbginhnne5m6lj3ocq

Reserve-Constrained Multiarea Environmental/Economic Dispatch Using Enhanced Particle Swarm Optimization

Lingfeng Wang, Chanan Singh
2006 2006 IEEE Systems and Information Engineering Design Symposium  
Dispatch Using Enhanced Particle Swarm Optimization 401 tournament selection.  ...  Particle Swarm Optimization Particle swarm optimization (PSO) is inspired from the collective behavior exhibited in swarms of social insects (Kennedy & Eberhart, 1995) .  ...  (ACO), Particle Swarm Optimization (PSO), etc.  ... 
doi:10.1109/sieds.2006.278720 fatcat:rnleslvk6fh4vg2c3tlososqtq

Breeding swarms

Matthew Settles, Paul Nathan, Terence Soule
2005 Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05  
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural networks.  ...  Swarm Optimizers (PSO) to form a more robust algorithm.  ...  Particle Swarm Optimizer One of the first implementation of particle swarm optimizers(PSO) was to train neural networks.  ... 
doi:10.1145/1068009.1068038 dblp:conf/gecco/SettlesNS05 fatcat:kd47hp4j6zhd5j5ttx6ozrqsm4

A Parameter Estimation Method for Dynamic Computational Cognitive Models

Dilhan J. Thilakarathne
2015 Procedia Computer Science  
A parameter estimation approach for dynamic cognitive models is presented here by combining improved Particle Swarm Optimization (PSO) and Constraint Satisfaction (CS) methods.  ...  This is performed in tournaments and results of each tournament are combined to address the premature convergence issue in PSO.  ...  Particle swarm optimization (PSO) technique is attracting the attention of many researchers in many domains due to its efficiency and effectiveness.  ... 
doi:10.1016/j.procs.2015.12.178 fatcat:ukhroijoxffgnfov2vz45kcfxu

Breeding swarms

Matthew Settles, Terence Soule
2005 Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05  
In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarms, combining the strengths of particle swarm optimization with genetic algorithms.  ...  Particle Swarm Optimizers As described by Eberhart and Kennedy, the PSO algorithm is an adaptive algorithm based on a social-psychological metaphor; a population of individuals (referred to as particles  ...  INTRODUCTION Genetic Algorithms (GA) and Particles Swarm Optimization (PSO) are both population based algorithms that have proven to be successful in solving a variety of difficult problems.  ... 
doi:10.1145/1068009.1068035 dblp:conf/gecco/SettlesS05 fatcat:pnziidblqnftrk2ughfjncskqq

Constrained particle swarm optimization using a bi-objective formulation

G. Venter, R. T. Haftka
2009 Structural And Multidisciplinary Optimization  
This paper introduces an approach for dealing with constraints when using particle swarm optimization.  ...  The constrained, single objective optimization problem is converted into an unconstrained, bi-objective optimization problem that is solved using a multi-objective implementation of the particle swarm  ...  Multi-objective Particle Swarm Optimization Several modifications to the particle swarm optimization algorithm are needed to solve multi-objective problems.  ... 
doi:10.1007/s00158-009-0380-6 fatcat:vrebrvgfange5ddij6uo5yhpei

Reserve-Constrained Multiarea Environmental/Economic Dispatch Using Enhanced Particle Swarm Optimization [chapter]

Lingfeng Wang, Chanan Singh
2007 Swarm Intelligence, Focus on Ant and Particle Swarm Optimization  
Dispatch Using Enhanced Particle Swarm Optimization 401 tournament selection.  ...  Particle Swarm Optimization Particle swarm optimization (PSO) is inspired from the collective behavior exhibited in swarms of social insects (Kennedy & Eberhart, 1995) .  ...  (ACO), Particle Swarm Optimization (PSO), etc.  ... 
doi:10.5772/5115 fatcat:y22mqr65zvhmvi4zs6pxcno7me

SYNTHESIS OF PLANAR ARRAYS USING A MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM BY INTRODUCING A SELECTION OPERATOR AND ELITISM

Marta Lanza Diego, Jesus Ramon Perez Lopez, Jose Basterrechea
2009 Electromagnetic Waves  
A modified particle swarm optimization (PSO) algorithm applied to planar array synthesis considering complex weights and directive element patterns is presented in this paper.  ...  The modern heuristic classical PSO scheme with asynchronous updates of the swarm and a global topology has been modified by introducing tournament selection, one of the most effective selection strategies  ...  PARTICLE SWARM OPTIMIZATION The PSO algorithm imitates in a computational fashion the coordinated and unpredictable movement of the particles within a swarm [1] .  ... 
doi:10.2528/pier09041303 fatcat:qidgua7frvhi7pcnzgmbcmdq64
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